
Sebastian Ober
@sebastian_ober
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Senior ML Scientist I @BigHatBio. 🖥️🧬 Previously @AstraZeneca, @SecondmindAI, and PhD student & @Gates_Cambridge scholar at @CambridgeMLG. Views are my own.
Joined May 2019
RT @AndrewFoongYK: 🧵1/ How does AI actually work under the hood? I just delivered a 6-part lecture series to clinician colleagues at @MayoC….
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RT @AndrewFoongYK: 🚨We're hiring! The AI and Data Analytics (AIDA) team at Mayo Clinic Radiation Oncology is recruiting Research Fellows to….
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We're hiring for an ML Scientist @BigHatBio to work on advancing state-of-the-art ML methods with direct application to designing real-world antibodies! I've loved working here so far; feel free to DM with any questions.
bighatbiosciences.pinpointhq.com
BigHat Biosciences designs safer, more effective biologic therapies for patients using machine learning and synthetic biology. BigHat integrates a wet lab for high-speed characterization with machine...
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RT @austinjtripp: My PhD thesis is finally online. Thanks @CambridgeMLG and @jmhernandez233 for a wonderful 4.5 years learning about prob….
github.com
LaTeX code for my PhD thesis (https://doi.org/10.17863/CAM.114023) - AustinT/phd-thesis
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RT @BigHatBio: Hunter Elliott (Sr. Director, Machine Learning) will give his invited talk “Generative and Predictive Machine Learning for I….
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RT @BigHatBio: BigHat is excited to kick off 2025 with a productive @jpmorgan Healthcare Conference 2025!. On Tuesday, January 14, 2025 our….
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I'll also be presenting "Active learning for affinity prediction of antibodies" at both BDU and MLSB (tomorrow), work done with @alpiges, Owen Vickery, @DinoOglic, and Talip Ucar! (3/3).
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This project was a lot of fun, but wouldn't have been possible without my great collaborators: @sp_monte_carlo, @tommy_da_cat, and Henry Moss. Come to East Rooms 8/15 for the lightning talks (14:30-15:00) and poster session (15:00-16:00), but also for a great workshop! (2/3).
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Excited to be presenting my work, "Big batch Bayesian active learning by considering predictive probabilities" at the Bayesian Decision Making & Uncertainty (BDU) Workshop @NeurIPSConf, as both a lightning talk and a poster! (1/3)
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RT @AlanNawzadAmin: New model trained on new dataset of nearly a million evolving antibody families at AIDrugX workshop Sunday at 4:20 pm (….
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RT @BiologyAIDaily: Active learning for affinity prediction of antibodies. • A novel active learning framework is proposed to optimize anti….
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RT @BigHatBio: BigHat’s VP of Discovery Medicine, @ryan_henrici, will be giving his invited talk "Machine Learning-guided Design of Logic G….
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Excited to be attending @NeurIPSConf from Wednesday! Feel free to reach out if you're interested in any of:.- ML for protein therapeutics.- Bayes opt/active learning.- GPs/BNNs/DGPs.Looking forward to catching up and/or meeting new people!.
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RT @BigHatBio: Hunter Elliott, BigHat’s Sr. Director of Machine Learning, as well as @AlanNawzadAmin, from the @andrewgwils lab at @nyunive….
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RT @AndrewFoongYK: Incredibly excited to reveal what I've worked on at @MSFTResearch these past two years! Think AlphaFold, but instead of….
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RT @CambridgeMLG: ✨Applications are now open for PhDs at the Cambridge Machine Learning Group!✨. We're looking for outstanding candidates i….
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RT @BigHatBio: We welcome Sebastian Ober, Fah Sathirapongsasuti and Nicholas Young. Sebastian joins BigHat’s Machine Learning team as Seni….
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RT @BigHatBio: BigHat Biosciences is featured in @statnews today’s “Who to Know: 7 companies to watch in AI protein design.”. Read more abo….
statnews.com
The last decade has seen a swell of biotech startups using AI to design proteins. These are seven companies to watch.
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